In graph theory, eigenvector centrality (also called eigencentrality) is a measure of the influence of a node in a network. It assigns relativeâ€¦Â (More)

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2016

2016

- Giorgio Roffo, Simone Melzi
- NFMCP@PKDD/ECML
- 2016

In an era where accumulating data is easy and storing it inexpensive, feature selection plays a central role in helping to reduceâ€¦Â (More)

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2015

2015

- Anand Bihari, Manoj Kumar Pandia
- 2015 International Conference on Futuristicâ€¦
- 2015

The centrality of vertices has been the key issue in social network analysis. Many centrality measures have been presented, suchâ€¦Â (More)

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2015

2015

Graph Isomorphism is one of the classical problems of graph theory for which no deterministic polynomial-time algorithm isâ€¦Â (More)

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2013

2013

- Luis Sola, Miguel Romance, Regino Criado, Julio Flores, Alejandro GarcÃa del Amo, Stefano Boccaletti
- Chaos
- 2013

We extend the concept of eigenvector centrality to multiplex networks, and introduce several alternative parameters that quantifyâ€¦Â (More)

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2010

2010

- De-wu Ding, Xiaoqing He
- 2010 2nd International Conference on Computerâ€¦
- 2010

Topological analysis methods have been developed to study the fundamental organizational principles of large-scale metabolicâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Phillip Bonacich
- Social Networks
- 2007

Eigenvectors, and the related centrality measure Bonacichâ€™s c(Î²), have advantages over graph-theoretic measures like degreeâ€¦Â (More)

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2007

2007

- Emre Atsan, Oznur Ozkasap
- 2007 22nd international symposium on computer andâ€¦
- 2007

An efficient data replication service is crucial for improving data accessability and resource utilization as well as providingâ€¦Â (More)

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2007

2007

- Iacopo Carreras, Daniele Miorandi, Geoffrey Canright, Kenth EngÃ¸-Monsen
- Advances in Biologically Inspired Informationâ€¦
- 2007

In this chapter we introduce a model for analyzing the spread of epidemics in a disconnected mobile network. The work is based onâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- GÃ¼nes Erkan, Dragomir R. Radev
- J. Artif. Intell. Res.
- 2004

We introduce a stochastic graph-based method for computing relative importance of textual units for Natural Language Processingâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

We introduce a stochastic graph-based method for computing relative importance of textual units for Natural Language Processingâ€¦Â (More)

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